Schumaker Shape-Preserving Spline

This is a shape preserving spline which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.


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Reference manual

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install.packages("schumaker")

1.1 by Stuart Baumann, a year ago


Browse source code at https://github.com/cran/schumaker


Authors: Stuart Baumann [aut, cre] , Margaryta Klymak[aut]


Documentation:   PDF Manual  


Task views: Numerical Mathematics


MIT + file LICENSE license


Suggests testthat, knitr, numDeriv, cobs, scam, rbenchmark


Suggested by FixedPoint.


See at CRAN